Estimation of Sleep Stages by an Artificial Neural Network Employing EEG, EMG and EOG
Küçük Resim Yok
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Analysis and classification of sleep stages is essential in sleep research. In this particular study, an alternative system which estimates sleep stages of human being through a multi-layer neural network (NN) that simultaneously employs EEG, EMG and EOG. The data were recorded through polisomnography device for 7 h for each subject. These collective variant data were first grouped by an expert physician and the software of polisomnography, and then used for training and testing the proposed Artificial Neural Network (ANN). A good scoring was attained through the trained ANN, so it may be put into use in clinics where lacks of specialist physicians.
Açıklama
Anahtar Kelimeler
EEG, EMG, EOG, Sleep stages, ANN
Kaynak
Journal of Medical Systems
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
34
Sayı
4
